Data Analyst

Role Overview

This Data Analyst position is part of the Operations division within a global tech company, located in King Abdullah Economic City. The primary objective is to convert complex operational data into concise, actionable insights that facilitate data-driven decisions for Manufacturing and Logistics teams.

Key Responsibilities

• Collaborate with stakeholders and business owners to gather data and reporting needs related to Manufacturing performance metrics.
• Examine extensive datasets to discover trends and actionable insights for operational improvement.
• Enhance, integrate, and transform data to meet changing business requirements.
• Create and sustain comprehensive dashboards, reports, and visual representations to communicate analytical findings across organizational levels.
• Convey analyses and suggestions to leadership by simplifying complex information into understandable insights.
• Work with various departments to establish key performance indicators and automate reporting processes.
• Perform advanced statistical analyses and modeling to aid forecasting and scenario planning.
• Maintain data accuracy and integrity through best practices in data management and governance.
• Provide real-time visualization of performance data through standardized dashboards.
• Interface with multiple systems and data warehouses to deliver meaningful data accessible on laptops, mobiles, and display units.
• Keep updated on the latest trends and best methods in data analytics and visualization.

Required Skills and Experience

• Bachelor's degree in Engineering, Supply Chain, Finance, Data Science, or related disciplines.
• Minimum of 3 to 5 years’ experience in analytics, reporting, data visualization, or Python programming.
• Expertise in Python or a similar programming language.
• Familiarity with Smartsheet, SAP, JIRA, and Tableau platforms.
• Advanced proficiency with Microsoft Office suite.
• Strong analytical and problem-solving aptitude, capable of interpreting complex data into actionable outcomes.
• Ability to analyze data using both holistic and detailed approaches.
• Excellent interpersonal and communication skills for cross-functional collaboration.
• Capable of managing projects, prioritizing tasks, and allocating resources efficiently.
• Willingness to adjust working hours including nights and weekends when needed.

Preferred Qualifications

• Higher academic degrees in relevant fields.
• Experience handling complex manufacturing data analytics.
• Proficiency in SQL and additional visualization tools.
• Knowledge of automotive interior market and performance reporting.
• Familiarity with cost engineering and supplier relationship management.
• Awareness of automotive industry trends, particularly for interior components.
• Background working in fast-paced, start-up or automotive OEM/Tier 1 environments.

About the Employer

Senna is a platform focused on helping finance professionals enhance their career paths by offering stronger recruiter connections, strategic guidance, and targeted opportunities. It aims to empower users with clear goals, sharp positioning, and momentum in career development.